DIAGNOSTICS OF AUTOMATED SYSTEM OF CONTROL OVER COMPLEX OBJECT WITH THE USE OF A PRIORY INFORMATION
Mozhaysky Military Space Academy, Department of Automated Systems of Preparation and Launch of Space Appointment Rockets, St. Petersburg;
N. A. Osipov
Mozhayskiy Military Space Academy, Saint Petersburg, 197198, Russian Federation ; Deputy Head of Chair
I. V. Dorozhko
Mozhaysky Military Space Academy, Department of Automated Systems of Preparation and Launch of Space Appointment Rockets, St. Petersburg; Advanced Student
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Abstract. The problem of increasing the reliability of diagnostics for the complex technical systems in the conditions of uncertainty is considered. A diagnostic technique was developed on the base of a posteriori conclusion of the Bayesian belief networks, including synthesis of the optimal diagnostic strategy taking into account dynamics of the a priori information and various laws of the distribution of continuous diagnostic signs.
Keywords:
diagnostics, Bayesian belief networks, reliability, a posteriori conclusion
